Informatics Skunkworks

FALL 2021 offered hybrid

What is the ambitious goal of this project?

The goal of the Informatics Skunkworks is to realize the educational and research potential of undergraduate research projects at the intersection of informatics and science and engineering. Many jobs require either expertise or literacy in this area and this VIP provides students with an introduction to using machine learning tools and the associated necessary background on machine learning methods and statistical analysis.

Why Informatics Skunkworks?

Data science is changing our world, from self-driving cars to real-time language translation. Come join us and be part of it!

What do we do in Informatics Skunkworks?

Student research group working together to learn and apply the transformative power of informatics (e.g. data science, machine learning, data mining, artificial intelligence).

Experience Gained

Throughout the course, students will focus on using two software tools (Citrination and MAST-ML) to generate machine learning models. They will also learn key ideas for assessing model performance, and decision-making skills for how to improve or modify a model.

Additionally, we seek to provide hands-on project-based training in:

• Completing complex projects.
• Goal oriented computer programming with languages such a Matlab, python, and R.
• The tools of modern informatics, including accessing and manipulating data and machine learning.
• Challenging domain specific problems from either academia or industry in students’ fields of interest.
• Mentoring newer students in the above.
• ***PAID SUMMER POSITIONS***available to continue your work over the summer.

Majors and Interests Needed

We are looking for all students interested in working on teams and learning new software tools. Materials Science & Engineering and Mechanical and Biomedical Engineering students specifically sought.

VIP Coach Information

Dr. Mahmood Mamivand is an Assistant Professor in the Mechanical and Biomedical Engineering and adjunct professor in the Department of Material Sciences in the College of Engineering. The ultimate goal of Dr. Mamivand’s research is to accelerate the process of materials design and discovery through developing multiscale multiphysics models. Specifically, Dr. Mamivand and his team are developing mesoscale models for materials phase transformation, nanoparticles growth, and materials performance in extreme environments.